Pairwise benchmark snapshot · Aug 1, 2026noindex (thin pair)

FLUX.1 [dev] vs OpenAI o3-mini benchmark

Name: FLUX.1 [dev] vs OpenAI o3-mini AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between FLUX.1 [dev] and OpenAI o3-mini. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Black Forest Labs

FLUX.1 [dev]

Open-weights non-commercial base model with 12B parameters, serving as the foundation for the open-source fine-tuning ecosystem.

Open Dev 12BImg Elo 1,180$30/1k imgs

OpenAI

OpenAI o3-mini

OpenAI cost-efficient reasoning model with adjustable thinking effort and top coding benchmark scores.

o3-miniImg Elo 1,560

FLUX.1 Series Lineage & Sibling Variants

3 models

Currently comparing FLUX.1 [dev] vs OpenAI o3-mini. Alternative family tiers available.

Active: FLUX.1 [dev]

FLUX.1.1 [pro]$50/1k FLUX.1 [schnell]$15/1k

OpenAI o3-mini Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay

290 ms

Standard speed

Reasoning Depth

~1,500

Internal tokens

Cost / 1k Calls

$8.47

4.5× standard bill

Accuracy Boost

+4.5% accuracy

STEM & SWE-bench

Top Rival Showdowns for FLUX.1 [dev]

All Matchups

Compare vs:vs GPT Image 2 (High)vs Reve 2.1 vs Nano Banana Pro (Gemini 3 Pro Image)vs Ideogram 4.0 (Quality)vs Recraft V4.1 Utility Pro

Image Quality Leader

No shared data

Single model data

Generation Speed Leader

No shared data

No latency data

Value per Dollar Leader

No shared data

Unpriced

Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

FLUX.1 [dev] (5)vsOpenAI o3-mini (0)

FLUX.1 [dev]: 5W (100%)Overall: FLUX.1 [dev]OpenAI o3-mini: 0W (0%)

← FLUX.1 [dev]OpenAI o3-mini →

🏆FLUX.1 [dev](3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

FLUX.1 [dev]vsOpenAI o3-mini

Image Elo

1,180vs—

Prompt adherence

87.5%vs—

Text rendering

86%vs—

FLUX.1 [dev]: 3WOpenAI o3-mini: 0W

🏆FLUX.1 [dev](1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

FLUX.1 [dev]vsOpenAI o3-mini

Generation time

4svs—

FLUX.1 [dev]: 1WOpenAI o3-mini: 0W

🏆FLUX.1 [dev](1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

FLUX.1 [dev]vsOpenAI o3-mini

Price per 1k images

$30/1kvs—

FLUX.1 [dev]: 1WOpenAI o3-mini: 0W

Side-by-Side Benchmark Matrix

Image Elo

FLUX.1 [dev]1,180

seed-bootstrap · Aug 1, 2026

OpenAI o3-mini—

Generation time

FLUX.1 [dev]4s

seed-bootstrap · Aug 1, 2026

OpenAI o3-mini—

Price per 1k images

FLUX.1 [dev]$30/1k

seed-bootstrap · Aug 1, 2026

OpenAI o3-mini—

Prompt adherence

FLUX.1 [dev]87.5%

seed-bootstrap · Aug 1, 2026

OpenAI o3-mini—

Text rendering

FLUX.1 [dev]86%

seed-bootstrap · Aug 1, 2026

OpenAI o3-mini—

Benchmark	FLUX.1 [dev]	OpenAI o3-mini	Advantage Delta
Image Elo	1,180 seed-bootstrap · Aug 1, 2026	—	—
Generation time	4s seed-bootstrap · Aug 1, 2026	—	—
Price per 1k images	$30/1k seed-bootstrap · Aug 1, 2026	—	—
Prompt adherence	87.5% seed-bootstrap · Aug 1, 2026	—	—
Text rendering	86% seed-bootstrap · Aug 1, 2026	—	—

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 100% with OpenAI o3-mini

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

FLUX.1 [dev]$750.00 / mo

Rate: $30/1k

OpenAI o3-mini$0.00 / mo

Rate: $0/1k

Estimated Cost Delta

OpenAI o3-mini is estimated to save $750.00/month ($9,000/year).

Based on 25k images generated

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionFLUX.1 [dev]

FLUX.1 [dev] is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	FLUX.1 [dev]	FLUX.1 [dev] is the side marked multimodal in the catalog.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Social Share Card Preview

Dynamic OpenGraph banner generated at /compare/flux-1-dev-vs-o3-mini/opengraph-image

Save PNG

CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Black Forest Labs

FLUX.1 [dev]

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$30/1k

Output / 1M Tokens$30/1k

OpenAI

OpenAI o3-mini

Elo 1,560

SWE-bench78.5%

Speed (tok/s)92 tok/s

Input / 1M Tokens$1.1/1M

Output / 1M Tokens$4.4/1M

Frequently Asked Questions

Which is better overall, FLUX.1 [dev] or OpenAI o3-mini?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, FLUX.1 [dev] or OpenAI o3-mini?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: List prices are missing for at least one model.
Which is faster, FLUX.1 [dev] or OpenAI o3-mini?: We do not have TTFT for both models.
Which has the larger context window?: Context window is missing for at least one model.
Can I self-host either model?: FLUX.1 [dev] is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. FLUX.1 [dev] and OpenAI o3-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All FLUX.1 [dev] matchups →|All OpenAI o3-mini matchups →

FLUX.1 [dev] vs FLUX.1 [schnell] (next flux)OpenAI o3-mini vs OpenAI o1-mini (previous gpt-mini)OpenAI o3-mini vs GPT-5 mini (next gpt-mini)GPT-5 vs OpenAI o3-mini GPT-4.5 Orion vs OpenAI o3-mini GPT-5.6 Sol vs OpenAI o3-mini

Benchmark

FLUX.1 [dev]

OpenAI o3-mini

Advantage Delta

Image Elo

1,180

seed-bootstrap · Aug 1, 2026

—

Generation time

seed-bootstrap · Aug 1, 2026

—

Price per 1k images

$30/1k

seed-bootstrap · Aug 1, 2026

—

Prompt adherence

87.5%

seed-bootstrap · Aug 1, 2026

—

Text rendering

86%

seed-bootstrap · Aug 1, 2026

—

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionFLUX.1 [dev]

FLUX.1 [dev] is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	FLUX.1 [dev]	FLUX.1 [dev] is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, FLUX.1 [dev] or OpenAI o3-mini?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, FLUX.1 [dev] or OpenAI o3-mini?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

List prices are missing for at least one model.

Which is faster, FLUX.1 [dev] or OpenAI o3-mini?

We do not have TTFT for both models.

Which has the larger context window?

Context window is missing for at least one model.

Can I self-host either model?

FLUX.1 [dev] is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. FLUX.1 [dev] and OpenAI o3-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.